Systems biology and biological information processing

我的研究是针对复杂的，动态的生物网络的研究中出现的计算问题。 我的大部分研究都是由“高内涵”技术推动的，例如体内表达成像或流式细胞术，其中相对少量类型的分子的活性在单细胞或组织中以高空间和/或时间分辨率定量测量。 我的研究集中在三个领域：（1）模型制定和拟合，特别是空间/时间基因表达数据，（2）实验设计，特别是时间序列实验和药物筛选问题，（3）生物分子系统的信息处理能力的理论分析。 在前两个焦点，我开发的技术，使我们能够最大限度地从分子生物学数据中获得的信息量，并与信息提取的效率。 在最后的焦点，目标是了解生物分子系统本身如何做出决定，或者如何设计它们（通过“合成生物学”）来执行计算任务。

My research is targeted towards computational problems that arise in the study of complex, dynamic biological networks. Much of my research is motivated by "high-content" technologies, such as in vivo expression imaging or flow cytometry, in which the activities of a relatively small number of types of molecules are measured quantitatively with high spatial and/or temporal resolution in single cells or in tissues. My research focuses on three areas: (1) model formulation and fitting, particularly for spatial/temporal gene expression data, (2) experiment design, especially for time-series experiments and drug screening problems, and (3) theoretical analysis of the information processing capabilities of biomolecular systems. In the first two foci, I develop techniques that allow us to maximize the amount of information obtained from molecular biological data, and the efficiency with which that information is extracted. In the final focus, the goal is to understand how biomolecular systems themselves make decisions, or how they can be engineered (via "synthetic biology") to carry out computational tasks.